Terrence Alsup is a PhD candidate advised by Benjamin Peherstorfer. He is interested in uncertainty quantification as well as the intersection of numerical analysis and machine learning. His current work is on multi-fidelity methods for importance sampling and applications to Bayesian inverse problems.
Karina Koval is PhD candidate advised by Georg Stadler. Her primary interests include numerical methods, optimization under uncertainty and uncertainty quantification. Currently her research involves inverse problems governed by partial differential equations.
Freddy Law is a PhD student working with Antoine Cerfon. He is interested in numerical methods for PDE as well as uncertainty quantification, primarily for problems arising in computational physics. His current work is in the simulation of turbulent plasma flows.
Anthony S Trubiano
Anthony Trubiano is a PhD student working with Miranda Holmes-Cerfon. He is interested in the mathematical modeling of physical systems in various fields of science and the methods of applied and computational mathematics in analyzing them. Particular interests include stochastic analysis, statistical mechanics, Monte Carlo methods, and other numerical solution algorithms. He is currently studying the behavior of hard sphere packings in the presence of a long range potential.
Rob Webber is a Ph.D. student advised by Jonathan Weare. He studies Monte Carlo methods with applications in atmospheric science, electronic structure theory, molecular dynamics, and linear algebra.